Élise Labonté-LeMoyne, F. Courtemanche, M. Fredette, Pierre-Majorique Léger
{"title":"野性有多狂野:生理计算研究中生态有效性的经验教训和建议","authors":"Élise Labonté-LeMoyne, F. Courtemanche, M. Fredette, Pierre-Majorique Léger","doi":"10.5220/0006962901230130","DOIUrl":null,"url":null,"abstract":": While many call for increased ecological validity in physiological computing research, implementing very naturalistic studies can be challenging. In this paper, we present a way to quantify ecological validity to allow comparisons between studies. We also present a critical look at four types of studies that have emerged from quantifying the ecological validity of our past experiments. Finally, we provide recommendations and lessons learned from our own work conducting studies that span a wide range of levels of ecological validity for researchers who wish to do more in the wild research.","PeriodicalId":326453,"journal":{"name":"International Conference on Physiological Computing Systems","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research\",\"authors\":\"Élise Labonté-LeMoyne, F. Courtemanche, M. Fredette, Pierre-Majorique Léger\",\"doi\":\"10.5220/0006962901230130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": While many call for increased ecological validity in physiological computing research, implementing very naturalistic studies can be challenging. In this paper, we present a way to quantify ecological validity to allow comparisons between studies. We also present a critical look at four types of studies that have emerged from quantifying the ecological validity of our past experiments. Finally, we provide recommendations and lessons learned from our own work conducting studies that span a wide range of levels of ecological validity for researchers who wish to do more in the wild research.\",\"PeriodicalId\":326453,\"journal\":{\"name\":\"International Conference on Physiological Computing Systems\",\"volume\":\"176 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Physiological Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0006962901230130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Physiological Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0006962901230130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research
: While many call for increased ecological validity in physiological computing research, implementing very naturalistic studies can be challenging. In this paper, we present a way to quantify ecological validity to allow comparisons between studies. We also present a critical look at four types of studies that have emerged from quantifying the ecological validity of our past experiments. Finally, we provide recommendations and lessons learned from our own work conducting studies that span a wide range of levels of ecological validity for researchers who wish to do more in the wild research.